Artificial Intelligence Engineer

Experience — Required

• Proven experience delivering AI/ML solutions into production pathways, including reproducible training/inference and clear handover artefacts.
• Strong ability to rapidly prototype, iterate with users, and then harden AI solutions towards production readiness.
• Experience selecting and implementing advanced modelling approaches (e.g., deep learning/NLP/graph/GenAI) and demonstrating lift over baselines.
• Experience designing robust evaluation frameworks (offline/online), including golden datasets, human-in-the-loop review and clear quality metrics.
• Working knowledge of AI safety and security risks (e.g., prompt injection, data leakage, privacy constraints) and how to implement practical technical mitigations.
• Experience collaborating with product and business stakeholders to shape MVP scope, define acceptance criteria, and manage trade-offs.
• Comfortable operating in ambiguous environments with shifting requirements, while maintaining delivery discipline and transparency.